Design efficient models and handle complex data using a NoSQL database—MongoDB, including its fundamentals, CRUD operations, performance optimization, and more.

Computer Science Bootcamp

Unlike traditional structured data in relational databases, Not Only SQL (NoSQL) is a database system that offers a flexible, schema-less approach for handling large volumes of unstructured or semi-structured data. Semi-structured data refers to information that does not adhere to a predefined schema yet exhibits some level of organization or structure. Learning NoSQL, particularly MongoDB, is essential in today’s data-driven landscape due to the increasing prevalence of semi-structured and unstructured data. In this module, we’ll cover the fundamentals of MongoDB, including creating databases and collections, performing CRUD operations, updating and deleting documents, optimizing database performance, and exploring additional MongoDB topics. By the end of this module, we’ll be equipped with the knowledge to work confidently with MongoDB, design efficient database models, and handle complex data operations, opening up exciting career prospects.

Working with NoSQL Using MongoDB

## Predefining important terms

The names of databases and collections are defined below. These names will be used in examples throughout the course.

- **Database name**: `todo`
- **Collections**: `tasks` and `users`
- **Collection schema**: We’ll use the below schema for most of the operations.

Become familiar with the database name, collection name, and the collection fields we'll use throughout the course.

Introduction to Database and MongoDB

Create Database and Authorization

Performing CRUD Operations on MongoDB - Part 1

Performing CRUD Operations on MongoDB - Part 2

MongoDB Query and Database Performance

Learn Additional MongoDB Topics

Appendix

Conclusion

Basic Guide for Examples